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09/07/2020
Interpretable Deep Multimodal Image Super-Resolution
Multimodal image super-resolution (SR) is the reconstruction of a high r...
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01/21/2020
Multimodal Deep Unfolding for Guided Image Super-Resolution
The reconstruction of a high resolution image given a low resolution obs...
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10/18/2019
Multimodal Image Super-resolution via Deep Unfolding with Side Information
Deep learning methods have been successfully applied to various computer...
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07/04/2019
Deep Coupled-Representation Learning for Sparse Linear Inverse Problems with Side Information
In linear inverse problems, the goal is to recover a target signal from ...
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12/04/2018
Matrix Factorization via Deep Learning
Matrix completion is one of the key problems in signal processing and ma...
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11/05/2018
Matrix Completion With Variational Graph Autoencoders: Application in Hyperlocal Air Quality Inference
Inferring air quality from a limited number of observations is an essent...
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07/04/2018
Regularizing Autoencoder-Based Matrix Completion Models via Manifold Learning
Autoencoders are popular among neural-network-based matrix completion mo...
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05/13/2018
Extendable Neural Matrix Completion
Matrix completion is one of the key problems in signal processing and ma...
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05/11/2018
Twitter User Geolocation using Deep Multiview Learning
Predicting the geographical location of users on social networks like Tw...
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12/21/2017
Multiview Deep Learning for Predicting Twitter Users' Location
The problem of predicting the location of users on large social networks...
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08/28/2017
